cs.RO(2024-04-18)

📊 共 14 篇论文 | 🔗 4 篇有代码

🎯 兴趣领域导航

支柱一:机器人控制 (Robot Control) (9 🔗3) 支柱二:RL算法与架构 (RL & Architecture) (4 🔗1) 支柱三:空间感知与语义 (Perception & Semantics) (1)

🔬 支柱一:机器人控制 (Robot Control) (9 篇)

#题目一句话要点标签🔗
1 Contingency Model Predictive Control for Bipedal Locomotion on Moving Surfaces with a Linear Inverted Pendulum Model 提出应急模型预测控制以解决动态移动表面上的双足行走问题 legged robot bipedal biped
2 Spot-Compose: A Framework for Open-Vocabulary Object Retrieval and Drawer Manipulation in Point Clouds 提出Spot-Compose框架以解决开放词汇物体检索与抽屉操作问题 manipulation 3D reconstruction open-vocabulary
3 Continuous Dynamic Bipedal Jumping via Real-time Variable-model Optimization 提出实时变量模型优化以解决双足机器人连续跳跃问题 bipedal biped MPC
4 Hybrid Dynamics Modeling and Trajectory Planning for a Cable-Trailer System with a Quadruped Robot 提出混合动力建模与轨迹规划解决四足机器人拖缆系统问题 quadruped trajectory optimization motion planning
5 ASID: Active Exploration for System Identification in Robotic Manipulation 提出ASID以解决机器人操作中的系统识别问题 manipulation sim-to-real reinforcement learning
6 Distributed Model Predictive Control for Heterogeneous Platoons with Affine Spacing Policies and Arbitrary Communication Topologies 提出分布式模型预测控制以优化异构车队的通信与间距策略 model predictive control
7 Characterizing Manipulation Robustness through Energy Margin and Caging Analysis 通过能量边际与包围分析提出操控鲁棒性评估方法 manipulation
8 Terrain-Aware Stride-Level Trajectory Forecasting for a Powered Hip Exoskeleton via Vision and Kinematics Fusion 提出Sandwich Fusion Transformer以解决地形适应性轨迹预测问题 locomotion egocentric
9 RISE: 3D Perception Makes Real-World Robot Imitation Simple and Effective 提出RISE以简化和提升真实世界机器人模仿学习的效果 manipulation imitation learning

🔬 支柱二:RL算法与架构 (RL & Architecture) (4 篇)

#题目一句话要点标签🔗
10 RoboDreamer: Learning Compositional World Models for Robot Imagination 提出RoboDreamer以解决机器人决策中的视频生成泛化问题 world model world models dreamer
11 Enabling Stateful Behaviors for Diffusion-based Policy Learning 提出Diff-Control以解决机器人执行中的一致性动作生成问题 policy learning imitation learning
12 Trajectory Planning for Autonomous Vehicle Using Iterative Reward Prediction in Reinforcement Learning 提出基于迭代奖励预测的强化学习方法以解决自主车辆轨迹规划问题 reinforcement learning
13 Reinforcement Learning of Multi-robot Task Allocation for Multi-object Transportation with Infeasible Tasks 提出动态任务分配框架以解决多机器人运输中的不可行任务问题 reinforcement learning

🔬 支柱三:空间感知与语义 (Perception & Semantics) (1 篇)

#题目一句话要点标签🔗
14 SPOT: Point Cloud Based Stereo Visual Place Recognition for Similar and Opposing Viewpoints 提出SPOT以解决对向视角下的视觉位置识别问题 visual odometry

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